Titlebook: Letting Go; Preparing Yourself t Craig E. Aronoff Book 2011 Palgrave Macmillan, a division of Nature America Inc. 2011 business.family busi

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书目名称Letting Go影响因子(影响力)




书目名称Letting Go影响因子(影响力)学科排名




书目名称Letting Go网络公开度




书目名称Letting Go网络公开度学科排名




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书目名称Letting Go被引频次学科排名




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书目名称Letting Go年度引用学科排名




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书目名称Letting Go读者反馈学科排名

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Craig E. Aronoff labels. This paper aims to recognize cluster structures by internal clustering validity indexes to improve the results of the external indexes. The work improves upon the . methods. The experiments result in enhancements of 67% in the Adjusted Rand Index, 81% in the Normalized Mutual Information an

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Craig E. Aronoffhen larger datasets are available as labeling data can be time consuming and training on larger data can be computationally expensive. There have been several approaches to learn with fewer labeled samples with diversity in the modeling (Shallow models, Bayesian networks and Neural Networks), in the

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Craig E. Aronoffc parameters using the Multi-Objective Genetic Algorithm. The linearized dynamic bearing model takes into account the variability of the rotational speed and the control electromagnetic field. The learning process of the DQN agent was carried out with the establishment of a threshold on the vibratio

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Craig E. Aronoffin labels is constrained by a nuclear norm. Finally, the proposed algorithm is optimization problem which is convex but not smooth, so Alternating Direction Multiplier Method is design for handling the optimization problem by dividing the problem into multiple subproblems. Experimental results on fo

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Craig E. Aronoffce and engineering. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also for all science and engineering libraries.. .978-3-319-37053-8978-3-319-20505-2Series ISSN 1860-949X Series E-ISSN 1860-9503

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